 Built scalable backend services including authentication, authorization, input validation, logging, and exception handling.

 Designed and optimized relational and NoSQL database schemas, improving query performance and data consistency.

 Developed RESTful APIs and integrated them with frontend applications built using modern JavaScript frameworks.

 Implemented business logic layers to process data, enforce rules, and manage workflows across services.

 Debugged and resolved production issues by analyzing logs, identifying root causes, and implementing long term fixes.

 Improved application performance by optimizing SQL queries, reducing redundant API calls, and refactoring inefficient code.

 Wrote unit level tests and performed manual testing to ensure feature correctness and stability.

 Followed Agile Scrum practices including sprint planning, daily stand ups, sprint reviews, and retrospectives.

 Collaborated closely with QA, DevOps, and frontend teams to deliver features end to end.

 Used Git for version control, managed pull requests, and participated in peer code reviews.

 Documented APIs, workflows, and deployment steps to support knowledge sharing and onboarding.

 Assisted in deployment activities and monitored applications post release to ensure stability.

 Developed backend components and APIs under senior developer guidance.

 Wrote clean, maintainable code and fixed bugs in existing applications.

 Assisted in database development including writing SQL queries and validating data integrity.

 Supported application testing and helped resolve defects before production releases.

 Gained hands on experience with debugging, logging, and performance tuning.

 Collaborated with cross functional teams to understand requirements and deliver working solutions.

 Followed software development best practices and Agile methodologies.

 Designed and developed microservices architecture using Java and Spring Boot, processing 500,000+ daily prescription transactions across 50+ distribution centers, improving system reliability and throughput.

 Developed RESTful APIs integrated with Oracle and PostgreSQL to manage prescription, inventory, and patient data, optimizing queries and indexing to reduce data retrieval latency by 35% and manual reconciliation errors by 30%.

 Implemented basic AI-driven demand forecasting using Apache Spark and TensorFlow, analyzing historical prescription data to identify high-demand medications, helping reduce stockouts and overstock situations.

 Containerized services with Docker and deployed on Kubernetes in AWS (EC2, S3, RDS), enabling smooth scaling during peak periods without impacting system stability.

 Developed unit and integration tests using JUnit and Mockito and automated API testing with Postman and Selenium, conducted load testing with Apache JMeter to ensure system stability under high-volume transactions.

 Implemented CI/CD pipelines with Jenkins, GitHub Actions, and SonarQube, reducing deployment time from 6 hours to 45 minutes and eliminating release-related defects.

 Integrated Prometheus, Grafana, and ELK Stack for real-time monitoring and logging, detecting and resolving system anomalies, reducing critical issue resolution time by 40%.

 Collaborated with cross-functional teams using Jira and Confluence, conducted code reviews, and ensured compliance with HIPAA and FDA regulations, improving sprint delivery efficiency by 20%.